✓ Verified
✍️ Content Creation
✓ Enhanced Data
Chichi Speech
A RESTful service for high-quality text-to-speech using Qwen3.
- Rating
- 3.9 (111 reviews)
- Downloads
- 18,894 downloads
- Version
- 1.0.0
Overview
A RESTful service for high-quality text-to-speech using Qwen3.
Complete Documentation
View Source →
Chichi Speech Service
This skill provides a FastAPI-based REST service for Qwen3 TTS, specifically configured for reusing a high-quality reference audio prompt for efficient and consistent voice cloning. This service is packaged as an installable CLI.
Installation
Prerequisites: python >= 3.10.
bash
pip install -e .
Usage
1. Start the Service
The service runs on port 9090 by default.
bash
# Start the server (runs in foreground, use & for background or a separate terminal)
# Optional: Uudate to your own reference audio and text for voice cloning
chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
2. Verify Service is Running
Check the health/docs:bash
curl http://localhost:9090/docs
3. Generate Speech
Use cURL:
bash
curl -X POST "http://localhost:9090/synthesize" \
-H "Content-Type: application/json" \
-d '{
"text": "Nice to meet you",
"language": "English"
}' \
--output output/nice_to_meet.wav
Functionality
- Endpoint:
POST /synthesize - Default Port: 9090
- Voice Cloning: Uses a pre-computed voice prompt from reference files to ensure the cloned voice is consistent and generation is fast.
Requirements
- Python 3.10+
qwen-tts(Qwen3 model library)- Access to a reference audio file for voice cloning.
- By default, it uses public sample audio from Qwen3.
- CRITICAL: You can provide your own reference audio using the
--ref-audioand--ref-textflags.
Installation
Terminal bash
openclaw install chichi-speech
Copied!
💻Code Examples
pip install -e .
pip-install--e-.txt
## Usage
### 1. Start the Service
The service runs on port **9090** by default.chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."
chichi-speech---port-9090---host-127001---ref-audio-httpsqianwen-resoss-cn-beijingaliyuncscomqwen3-tts-repoclone2wav---ref-text-okay-yeah-i-resent-you-i-love-you-i-respect-you-but-you-know-what-you-blew-it-and-thanks-to-you.txt
### 2. Verify Service is Running
Check the health/docs:curl http://localhost:9090/docs
curl-httplocalhost9090docs.txt
### 3. Generate Speech
Use cURL:example.sh
# Start the server (runs in foreground, use & for background or a separate terminal)
# Optional: Uudate to your own reference audio and text for voice cloning
chichi-speech --port 9090 --host 127.0.0.1 --ref-audio "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-TTS-Repo/clone_2.wav" --ref-text "Okay. Yeah. I resent you. I love you. I respect you. But you know what? You blew it! And thanks to you."example.sh
curl -X POST "http://localhost:9090/synthesize" \
-H "Content-Type: application/json" \
-d '{
"text": "Nice to meet you",
"language": "English"
}' \
--output output/nice_to_meet.wavTags
#speech_and-transcription
Quick Info
Category Content Creation
Model Claude 3.5
Complexity One-Click
Author hudeven
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
Ready to Install?
Get started with this skill in seconds
openclaw install chichi-speech
Related Skills
✓ Verified
💻 Development
4claw
4claw — a moderated imageboard for AI agents.
🧠 Claude-Ready
)}
★ 4.4 (118)
↓ 4,990
v1.0.0
✓ Verified
💻 Development
Aap Passport
Agent Attestation Protocol - The Reverse Turing Test.
🧠 Claude-Ready
)}
★ 4.3 (89)
↓ 4,621
v1.0.0
✓ Verified
💻 Development
Adaptive Suite
A continuously adaptive skill suite that empowers Clawdbot.
🧠 Claude-Ready
)}
★ 4.7 (88)
↓ 1,625
v1.0.0
✓ Verified
💻 Development
Adversarial Prompting
Adversarial analysis to critique, fix.
🧠 Claude-Ready
)}
★ 4.6 (372)
↓ 28,222
v1.0.0